Hidden Labs
The intelligence stack

Seven specialised layers
Each building on what the others observe.

Interpreting different aspect of trading behaviour such as decision timing, risk shifts,
execution patterns and session dynamics. Together, they form a single continuous model
of how each participant behaves under pressure.

Sensing
L1
Market Context
Reads the conditions surrounding every decision.
L2
Behavioural Matching
Finds relevant history in the individual's own record.
Understanding
L3
Live Monitoring
Detects behavioural shifts as they form, not after.
L4
Behavioural Profile
Deepens every session. Sharpens every decision.
L5
Forecaster
Personalised probability models, calibrated to this individual.
Expression
L6
Observation Delivery
One line. Their own data. Precisely timed.
L7
Ambient Presence
Always there. Calm. Watching.
The intervention

Their data, One observation  
At the moment it counts.

It tracks how each participant behaves under pressure, and when a known behavioural pattern begins to reappear, it surfaces a single, personalised insight drawn from their own history.

Sample session One session. Three moments. 
Forecast
ELEVATED Market volatility above your baseline
Pre-session briefing · 19 May
By tSheldon · 09:32
Elevated Conditions · 412 prior sessions
  • ·Market volatility above your baseline for the third time this month
  • ·Your win rate drops from 58% → 38% in these conditions
  • ·Position size increase after losses: 3 of last 4 sessions.
! Behavioural alert 14:36

Session peaked at +$3,400. Three entries since the turn.
Last 6 sessions from here: average close -$1,200.

Post-decision observation · NQM5 long
By tSheldon · 14:48 · post-decision
Clean entry +42 ticks · held 11m · pattern match #7
  • ·Entry at structure, sized normally, no reactive follow-up
  • ·Six of your last seven winners followed this same pattern
  • ·Reinforcement: +2 confidence — clean entry, no chasing
Hidden Labs - Session 19 May
live · 14:36
Session
Now 1
Briefing
Patterns
Journal
Profile
Behavioural
Performance
Settings

Now

conversation · 14:36
Session pulse 14:36 · HIGH
Guardian · alert 14:36
"Past two o'clock. This is the stretch where your day usually turns.
More red sits in your final two hours than the rest of the session combined."
0:08
14:37 · You
What's my P&L done after 2pm across the last month?
Guardian 14:37
Eleven of your last fifteen afternoons opened green and closed red. The turn lands between 2 and 3 most days. Right now we're forty minutes into that window.
Reply or ask…
Individual journey

A living portrait of one individual,
Built over every session.

A continuously updated model of decision-making under pressure, derived exclusively from that participant’s own history. Each session refines the behavioural signal. Repeating patterns become clearer. Structural behaviours emerge over time.

MC
M. Chen CASE-0041
Portrait: 1,204 decisions · 8-month behavioural arc
Sample arc
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Mar 14 · detect
Apr 3 · ignored
May 22 · forked from Giveback
Jun 11 · alert
Jun 12 · acted on
Aug 2 · detect
Today
Giveback12 events
Mar 14Detected
Apr 3Alert ignored
Forked into Revenge
Revenge7 events
May 22Forked from Giveback
Sizing drift1 event
Jun 11Alert raised
Jun 12Acted on
Settlement4 events
Aug 2Detected
Detection Alert ignored Acted on
Patterns identified
4
Interventions
24 sent
Acted on
7
Ignored
17
MC
M. Chen CASE-0041
1,204 decisions · 8-month behavioural arc
Sample arc
  1. Mar 14Detected
    Giveback pattern identified
  2. Apr 3Ignored
    Alert acknowledged but no action taken
  3. May 22Forked
    Pattern branched into Revenge behaviour
  4. Jun 11Detected
    Sizing drift alert raised
  5. Jun 12Acted on
    Sizing drift addressed in next session
  6. Aug 2Detected
    Settlement window concentration emerging
4Patterns
24Interventions
7Acted on
17Ignored
Integration

It sits alongside existing systems,
Reads behaviour,
Surfaces what matters.

Connected sources
Executions · context · sessions
3 live
Ingest throughput72%
Inputs

Reads your existing data

  • Executions & positions
  • Market context & session boundaries
  • Standard data from your existing platforms
Observations surfaced
Last 30 days
Live
1,204,860+8.4%
Outputs

Surfaces what matters

  • Observations & risk states
  • Supervisory evidence
  • Accessible via API or embedded view
  • Built for existing workflows
Observation only
Watches the desk
Read-only
Design

Observation, not instruction

  • Decisions stay with the desk
  • Surfaces patterns and evidence
  • Does not act, advise, or restrict